MacBook Pro (14-inch, 2023)
Geekbench AI Score
4131
Single Precision Score
6714
Half Precision Score
5271
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | matthewbahri |
| Upload Date | January 28 2025 09:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (Q)
|
96% |
1659
309.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2896
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12684
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24405
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18896
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
2726
217.0 IPS |
|
|
Object Detection (Q)
|
94% |
1993
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6426
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12129
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8177
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25143
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39339
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29455
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7018
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4457
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6233
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6341
109.6 IPS |
