MacBook Pro (16-inch, 2021)
Geekbench AI Score
2055
Single Precision Score
12914
Half Precision Score
13303
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andrewkendall |
| Upload Date | August 15 2024 06:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
899
167.1 IPS |
|
|
Image Classification (HP)
|
100% |
7118
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7390
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3851
62.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3844
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10178
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68846
80.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64565
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
99% |
7479
595.0 IPS |
|
|
Object Detection (Q)
|
93% |
7280
580.9 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
11574
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
12107
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3675
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46578
358.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
49618
383.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12281
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
116985
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
123472
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18794
694.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23145
857.5 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.5 IPS |
|
|
Text Classification (HP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2120
36.6 IPS |
