MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4142
Single Precision Score
31328
Half Precision Score
34968
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
17022
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
20053
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22565
365.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27917
452.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9003
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121986
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121453
142.4 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
18002
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20868
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
39816
473.1 IPS |
|
|
Face Detection (Q)
|
100% |
47186
560.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97959
754.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
121696
951.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22290
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229143
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221008
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47847
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57615
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5171
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5096
88.1 IPS |
