MacBook Pro (14-inch, 2023)
Geekbench AI Score
4142
Single Precision Score
6640
Half Precision Score
5276
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | natrat |
| Upload Date | July 20 2025 02:47 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2858
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12685
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25430
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19246
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2662
211.9 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5760
68.4 IPS |
|
|
Face Detection (Q)
|
100% |
3244
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6213
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11534
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7930
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24813
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36447
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29568
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6687
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4565
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6373
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6398
110.6 IPS |
