MacBook Pro (16-inch, 2021)
Geekbench AI Score
8573
Single Precision Score
9477
Half Precision Score
8046
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4024
748.4 IPS |
|
|
Image Classification (HP)
|
100% |
4074
757.7 IPS |
|
|
Image Classification (Q)
|
97% |
3445
643.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6274
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6468
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6473
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32967
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34981
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32446
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4024
319.2 IPS |
|
|
Object Detection (HP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (Q)
|
91% |
3431
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
14017
166.6 IPS |
|
|
Face Detection (HP)
|
100% |
14781
175.6 IPS |
|
|
Face Detection (Q)
|
100% |
10503
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19751
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20725
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17437
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53860
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63835
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59939
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10983
405.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11511
425.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9038
333.7 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1651
28.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1130
19.5 IPS |
