MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4163
Single Precision Score
24657
Half Precision Score
27506
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | SilentGSG9 |
| Upload Date | August 21 2024 07:34 AM |
| Views | 18 |
| Notes | Without energy saving mode |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
15363
2.86 KIPS |
|
|
Image Classification (Q)
|
99% |
17346
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14017
227.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
14087
228.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8964
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118005
137.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
116361
136.5 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
16052
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
20084
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
25670
305.0 IPS |
|
|
Face Detection (Q)
|
100% |
39990
475.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
80337
618.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
90731
701.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
167319
215.1 IPS |
|
|
Style Transfer (Q)
|
100% |
167863
215.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5233
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45826
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55724
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2706
46.8 IPS |
