MacBook Pro (16-inch, 2023)
Geekbench AI Score
4167
Single Precision Score
6768
Half Precision Score
5300
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | October 31 2024 08:59 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2274
423.0 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2601
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2946
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12925
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25072
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19665
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
2014
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5819
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3405
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12188
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8269
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25186
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39205
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29322
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7118
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6297
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6216
107.4 IPS |
