MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13054
Single Precision Score
15305
Half Precision Score
14152
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 12:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6178
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6667
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
5938
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10697
173.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11827
191.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11294
183.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
43578
50.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49041
57.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
47348
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5878
466.2 IPS |
|
|
Object Detection (HP)
|
100% |
6259
496.5 IPS |
|
|
Object Detection (Q)
|
92% |
5931
473.4 IPS |
|
|
Face Detection (SP)
|
100% |
16804
199.7 IPS |
|
|
Face Detection (HP)
|
100% |
22385
266.0 IPS |
|
|
Face Detection (Q)
|
100% |
18052
214.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28069
216.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29796
229.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
27206
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
91043
117.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106321
136.7 IPS |
|
|
Style Transfer (Q)
|
96% |
102688
132.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14571
538.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16173
597.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13591
501.9 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5103
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5002
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4993
86.3 IPS |
