MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4058
Single Precision Score
7152
Half Precision Score
5841
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 08:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2066
385.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8449
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17482
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15138
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (HP)
|
97% |
3271
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2406
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7148
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4144
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7135
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12842
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9169
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22084
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33778
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28165
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5025
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7927
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7889
136.3 IPS |
