MacBook Pro (16-inch, 2021)
Geekbench AI Score
8485
Single Precision Score
9287
Half Precision Score
8833
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | April 09 2025 07:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4112
764.7 IPS |
|
|
Image Classification (HP)
|
100% |
3885
722.5 IPS |
|
|
Image Classification (Q)
|
96% |
3902
728.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7265
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7488
121.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7153
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32614
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34736
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33560
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3633
288.2 IPS |
|
|
Object Detection (HP)
|
100% |
3787
300.3 IPS |
|
|
Object Detection (Q)
|
92% |
3744
298.9 IPS |
|
|
Face Detection (SP)
|
100% |
13759
163.5 IPS |
|
|
Face Detection (HP)
|
100% |
14702
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
12708
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19899
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18086
139.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
16986
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53586
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62836
80.8 IPS |
|
|
Style Transfer (Q)
|
96% |
61337
79.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10686
394.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11418
421.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9882
364.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4020
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1568
27.1 IPS |
