MacBook Pro (14-inch, 2023)
Geekbench AI Score
10163
Single Precision Score
11032
Half Precision Score
9575
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | matthewbahri |
| Upload Date | November 09 2024 04:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5164
960.4 IPS |
|
|
Image Classification (HP)
|
100% |
5337
992.4 IPS |
|
|
Image Classification (Q)
|
97% |
4406
822.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7333
118.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7238
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7113
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37232
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39496
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36689
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
4830
383.1 IPS |
|
|
Object Detection (HP)
|
100% |
4979
395.0 IPS |
|
|
Object Detection (Q)
|
91% |
4204
335.9 IPS |
|
|
Face Detection (SP)
|
100% |
16772
199.3 IPS |
|
|
Face Detection (HP)
|
100% |
17795
211.4 IPS |
|
|
Face Detection (Q)
|
100% |
12587
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24016
185.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24628
189.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20826
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68552
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
75086
96.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68457
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13339
492.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14241
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11275
416.3 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1872
32.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1667
28.8 IPS |
