MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13287
Single Precision Score
15295
Half Precision Score
14209
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jlmoore7299 |
| Upload Date | May 30 2025 01:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6719
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6171
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10922
177.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12076
195.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11302
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45338
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
46972
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46188
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
6073
481.7 IPS |
|
|
Object Detection (HP)
|
100% |
6438
510.7 IPS |
|
|
Object Detection (Q)
|
92% |
5765
460.2 IPS |
|
|
Face Detection (SP)
|
100% |
17665
209.9 IPS |
|
|
Face Detection (HP)
|
100% |
22334
265.4 IPS |
|
|
Face Detection (Q)
|
100% |
18229
216.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27974
215.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29883
230.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
27381
213.9 IPS |
|
|
Style Transfer (SP)
|
100% |
93820
120.6 IPS |
|
|
Style Transfer (HP)
|
100% |
104823
134.8 IPS |
|
|
Style Transfer (Q)
|
96% |
101427
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15049
555.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16235
599.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13887
512.8 IPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5011
86.6 IPS |
