MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2918
Single Precision Score
4947
Half Precision Score
4020
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 12 2024 08:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 2.61 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (Q)
|
96% |
1384
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2339
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
12594
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10844
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2366
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1694
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
2685
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5435
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9936
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6789
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16192
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24112
31.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19964
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4261
157.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3133
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3624
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3605
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3889
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4512
78.0 IPS |
