MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4145
Single Precision Score
7010
Half Precision Score
5708
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
2848
529.6 IPS |
|
|
Image Classification (Q)
|
96% |
1961
366.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3248
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9022
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17470
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14988
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3149
250.7 IPS |
|
|
Object Detection (Q)
|
94% |
2261
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
100% |
3972
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7050
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12709
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8870
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22230
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34126
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28162
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5152
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5123
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7707
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7684
132.8 IPS |
