Mac16,11
Geekbench AI Score
5707
Single Precision Score
37049
Half Precision Score
50417
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 02:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17738
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23893
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23141
375.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32167
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18736
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122779
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231135
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
20350
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24850
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
44364
527.1 IPS |
|
|
Face Detection (Q)
|
100% |
63767
757.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108860
838.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178151
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35400
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237395
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301272
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6996
258.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46762
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79516
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5586
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16175
278.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16227
280.4 IPS |
