MacBook Pro M1 Pro MacBook Pro (14-inch, 2021)
Geekbench AI Score
3745
Single Precision Score
16069
Half Precision Score
16029
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ndelettre |
| Upload Date | December 07 2024 02:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
6646
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6434
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10345
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69296
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65906
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7899
628.4 IPS |
|
|
Object Detection (Q)
|
91% |
7354
587.6 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
15829
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
14811
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50589
389.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53908
421.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22498
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119525
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115735
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25484
941.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27662
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3894
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3488
60.3 IPS |
