MacBook Pro (16-inch, 2021)
Geekbench AI Score
3736
Single Precision Score
5698
Half Precision Score
4749
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11149
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22124
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17540
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2354
187.4 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5069
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3044
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5949
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10895
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7465
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22299
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35087
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27245
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6189
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4037
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3123
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4872
84.2 IPS |
