MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3952
Single Precision Score
5601
Half Precision Score
4656
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 08:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
2139
397.8 IPS |
|
|
Image Classification (Q)
|
99% |
2121
395.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1493
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8612
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17069
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14532
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
2564
204.1 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5138
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3418
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6737
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9574
74.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
5029
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21392
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31487
40.5 IPS |
|
|
Style Transfer (Q)
|
100% |
31582
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4311
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4611
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3306
56.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4954
85.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4911
84.9 IPS |
