MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
9627
Single Precision Score
10955
Half Precision Score
9770
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gouarfig |
| Upload Date | August 19 2024 08:58 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5668
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6099
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
5272
983.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7529
122.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9719
157.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9622
156.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44880
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48279
56.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
43568
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
5709
452.8 IPS |
|
|
Object Detection (HP)
|
100% |
5998
475.7 IPS |
|
|
Object Detection (Q)
|
92% |
4870
388.8 IPS |
|
|
Face Detection (SP)
|
100% |
15952
189.5 IPS |
|
|
Face Detection (HP)
|
100% |
19541
232.2 IPS |
|
|
Face Detection (Q)
|
100% |
14395
171.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27299
210.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
30576
235.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
29650
229.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92383
118.8 IPS |
|
|
Style Transfer (HP)
|
100% |
106020
136.3 IPS |
|
|
Style Transfer (Q)
|
100% |
103188
132.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14719
543.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16177
597.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11738
434.9 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (HP)
|
100% |
675
901.3 IPS |
|
|
Text Classification (Q)
|
93% |
671
901.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
