MacBook Pro (14-inch, 2023)
Geekbench AI Score
4163
Single Precision Score
6757
Half Precision Score
5261
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | matthewbahri |
| Upload Date | November 09 2024 04:45 PM |
| Views | 3 |
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 (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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2910
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12575
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24662
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19049
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
2738
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1999
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5928
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3411
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6349
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12370
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8180
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39098
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29017
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7043
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4437
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4473
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6296
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6284
108.6 IPS |
