MacBook Pro (16-inch, 2023)
Geekbench AI Score
4100
Single Precision Score
6619
Half Precision Score
5205
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Cyril1905 |
| Upload Date | October 09 2024 10:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.1 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2954
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12617
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24178
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19555
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
2714
216.0 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
5723
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3300
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6251
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11930
92.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7706
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24373
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37740
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28818
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6108
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6209
107.3 IPS |
