MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4058
Single Precision Score
7122
Half Precision Score
5873
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | remusn |
| Upload Date | October 20 2025 01:41 PM |
| Views | 4 |
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 | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2064
385.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8441
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
17461
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15189
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3280
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2405
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7206
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4246
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12878
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9226
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22214
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34015
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28493
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5650
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4951
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5001
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7915
136.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7875
136.1 IPS |
