MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4168
Single Precision Score
6859
Half Precision Score
5578
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 11:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.2 IPS |
|
|
Image Classification (Q)
|
96% |
1942
362.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8978
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17247
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14875
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2294
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6517
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13364
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9165
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33065
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27736
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5225
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4270
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4739
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6399
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6384
110.3 IPS |
