MacBook Pro (16-inch, 2021) 15.7.1 10-27-25 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
16421
Half Precision Score
16442
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | October 28 2025 01:28 AM |
| Views | 4 |
| Notes | SAFE, all other apps & most bckgrnd processes off, no BT, no WIFI. uses 1GBASE-T |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6900
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6671
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9707
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69621
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66903
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
7956
632.9 IPS |
|
|
Object Detection (Q)
|
91% |
7530
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15105
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51531
397.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53903
421.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21853
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121378
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117179
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25797
952.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28045
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3877
67.0 IPS |
