MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8822
Single Precision Score
10080
Half Precision Score
8838
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 08:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5269
979.8 IPS |
|
|
Image Classification (HP)
|
100% |
5607
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
5136
957.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7049
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8397
136.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
8185
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34872
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
37041
43.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
33889
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
5381
426.8 IPS |
|
|
Object Detection (HP)
|
100% |
5591
443.5 IPS |
|
|
Object Detection (Q)
|
92% |
4487
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
15130
179.8 IPS |
|
|
Face Detection (HP)
|
100% |
17781
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
12846
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22972
177.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24882
191.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
25807
199.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77777
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86482
111.2 IPS |
|
|
Style Transfer (Q)
|
100% |
85236
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13956
515.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16287
601.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11106
411.4 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.8 IPS |
|
|
Text Classification (HP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (Q)
|
93% |
723
970.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2005
34.7 IPS |
