MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4108
Single Precision Score
6993
Half Precision Score
5663
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 10:44 PM |
| Views | 4 |
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% |
1579
293.7 IPS |
|
|
Image Classification (HP)
|
100% |
2826
525.5 IPS |
|
|
Image Classification (Q)
|
96% |
1958
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3250
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17390
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14931
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3143
250.2 IPS |
|
|
Object Detection (Q)
|
94% |
2275
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3876
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7094
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12705
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8887
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22177
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33920
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28089
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5053
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7345
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7366
127.3 IPS |
