MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4067
Single Precision Score
7104
Half Precision Score
5853
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jkirinus |
| Upload Date | October 23 2025 03:03 AM |
| Views | 2 |
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% |
1566
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
2954
549.4 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17486
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15149
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.8 IPS |
|
|
Object Detection (Q)
|
94% |
2416
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7148
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4172
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7139
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12908
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9183
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22049
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33773
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28231
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4960
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7813
135.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7867
135.9 IPS |
