MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4003
Single Precision Score
6996
Half Precision Score
5684
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1202
223.6 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.4 IPS |
|
|
Image Classification (Q)
|
96% |
1952
364.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8997
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17408
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14958
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3162
251.7 IPS |
|
|
Object Detection (Q)
|
94% |
2281
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7110
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12675
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8889
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22213
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34010
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28051
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4326
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7578
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7566
130.7 IPS |
