MacBook Pro (16-inch, 2023)
Geekbench AI Score
4112
Single Precision Score
6793
Half Precision Score
5320
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | tangovictor |
| Upload Date | November 18 2024 10:11 PM |
| Views | 3 |
| Notes | TangoVictor Baseline |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2943
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12962
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25480
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19664
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6089
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12357
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24898
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38707
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29792
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6255
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6300
108.9 IPS |
