MacBook Pro (16-inch, 2021)
Geekbench AI Score
3648
Single Precision Score
16359
Half Precision Score
16316
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 01:35 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6688
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9690
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10420
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11113
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70597
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67538
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
7913
629.4 IPS |
|
|
Object Detection (Q)
|
91% |
7445
594.9 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14936
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5836
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51689
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53215
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22023
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120755
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115815
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25993
959.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27730
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3786
65.4 IPS |
