MacBook Pro (M4 Pro) Mac16,8
Geekbench AI Score
13585
Single Precision Score
15016
Half Precision Score
13262
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 20 2024 10:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6966
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7362
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6269
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10620
172.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11098
179.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11304
183.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46400
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48310
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45718
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6747
535.1 IPS |
|
|
Object Detection (HP)
|
100% |
7338
582.0 IPS |
|
|
Object Detection (Q)
|
91% |
5972
477.2 IPS |
|
|
Face Detection (SP)
|
100% |
22379
265.9 IPS |
|
|
Face Detection (HP)
|
100% |
25651
304.8 IPS |
|
|
Face Detection (Q)
|
100% |
18349
218.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30971
238.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32876
253.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
27266
213.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104762
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112771
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106959
138.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16447
607.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17786
656.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14051
518.8 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2290
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2237
38.7 IPS |
