MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
7003
Half Precision Score
5727
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 06 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
2833
526.8 IPS |
|
|
Image Classification (Q)
|
96% |
1964
366.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3239
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9010
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17469
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14993
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3193
254.2 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12744
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8942
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22348
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33898
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28009
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4342
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7732
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7711
133.3 IPS |
