MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11713
Single Precision Score
13563
Half Precision Score
10376
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | December 18 2024 12:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
6054
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6295
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7468
121.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9957
161.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
10004
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45158
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48243
56.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
44686
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
5972
473.7 IPS |
|
|
Object Detection (HP)
|
100% |
6382
506.2 IPS |
|
|
Object Detection (Q)
|
91% |
5290
422.7 IPS |
|
|
Face Detection (SP)
|
100% |
16971
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
21291
253.0 IPS |
|
|
Face Detection (Q)
|
100% |
15693
186.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27207
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29876
230.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
4525
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
91995
118.3 IPS |
|
|
Style Transfer (HP)
|
100% |
105817
136.0 IPS |
|
|
Style Transfer (Q)
|
100% |
106148
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14924
551.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16453
607.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11700
433.5 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2335
40.4 IPS |
