MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4120
Single Precision Score
7055
Half Precision Score
5704
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | March 24 2026 05:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8844
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17532
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15075
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3242
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2333
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3892
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12894
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9074
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22413
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34411
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28569
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6344
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6282
108.6 IPS |
