MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
30625
Half Precision Score
35074
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:04 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
16328
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19495
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22516
365.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27587
447.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8999
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121919
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121234
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
17596
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20219
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
35235
418.7 IPS |
|
|
Face Detection (Q)
|
100% |
51476
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97979
754.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122409
957.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22226
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229909
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221498
285.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46033
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58064
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3422
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5095
88.1 IPS |
