MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4159
Single Precision Score
31190
Half Precision Score
34952
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:02 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% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
17038
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
19173
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22178
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28156
456.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8982
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122191
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121435
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
18506
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20358
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39951
474.7 IPS |
|
|
Face Detection (Q)
|
100% |
51430
611.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97814
753.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121544
950.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22318
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227145
292.0 IPS |
|
|
Style Transfer (Q)
|
96% |
222257
286.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45635
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56104
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5078
87.8 IPS |
