MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10767
Single Precision Score
12909
Half Precision Score
9438
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | August 18 2024 02:22 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.78 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5470
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5903
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
5267
982.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6456
104.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9344
151.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
9219
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
43015
50.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
46427
54.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
42191
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
5535
439.1 IPS |
|
|
Object Detection (HP)
|
100% |
6039
479.0 IPS |
|
|
Object Detection (Q)
|
91% |
4944
395.1 IPS |
|
|
Face Detection (SP)
|
100% |
15166
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
19409
230.6 IPS |
|
|
Face Detection (Q)
|
100% |
13481
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25624
197.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28576
220.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
4392
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
87438
112.4 IPS |
|
|
Style Transfer (HP)
|
100% |
102126
131.3 IPS |
|
|
Style Transfer (Q)
|
100% |
100628
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14567
537.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15686
579.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10823
401.0 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4486
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4368
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
