MacBook Pro (16-inch, 2021)
Geekbench AI Score
3547
Single Precision Score
5559
Half Precision Score
4543
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1324
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (Q)
|
96% |
1459
272.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10732
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20643
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16334
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2279
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1686
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
3019
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5567
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10385
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7218
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20970
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33412
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24708
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3899
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3312
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4468
77.2 IPS |
