MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8493
Single Precision Score
8943
Half Precision Score
7662
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B2073) |
| 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% |
3710
689.9 IPS |
|
|
Image Classification (HP)
|
100% |
5301
985.7 IPS |
|
|
Image Classification (Q)
|
99% |
4582
854.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6945
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8053
130.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
7879
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34985
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36587
42.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33040
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
5238
415.5 IPS |
|
|
Object Detection (HP)
|
100% |
5354
424.7 IPS |
|
|
Object Detection (Q)
|
91% |
4153
331.8 IPS |
|
|
Face Detection (SP)
|
100% |
15389
182.9 IPS |
|
|
Face Detection (HP)
|
100% |
17448
207.3 IPS |
|
|
Face Detection (Q)
|
100% |
11321
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22858
176.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24339
187.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
24226
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
77364
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85962
110.5 IPS |
|
|
Style Transfer (Q)
|
100% |
85130
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13501
498.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14662
541.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10198
377.8 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.2 IPS |
|
|
Text Classification (Q)
|
93% |
641
860.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
923
15.9 IPS |
