Mac16,11
Geekbench AI Score
5727
Single Precision Score
36352
Half Precision Score
49218
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SpiritsCatcher |
| Upload Date | November 14 2024 05:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17922
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22988
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23197
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32045
519.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18853
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123489
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229986
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19903
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24335
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4411
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
44791
532.2 IPS |
|
|
Face Detection (Q)
|
100% |
57249
680.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
106034
816.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179114
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35796
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238624
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304025
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46788
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79239
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16125
277.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16011
276.7 IPS |
