Mac16,8
Geekbench AI Score
5387
Single Precision Score
36707
Half Precision Score
49747
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | eclipse10000 |
| Upload Date | November 15 2024 09:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.34 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1960
364.4 IPS |
|
|
Image Classification (HP)
|
100% |
17948
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23001
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23124
374.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32045
519.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17742
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
120859
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
226052
264.9 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
20084
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24600
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
43808
520.5 IPS |
|
|
Face Detection (Q)
|
100% |
62985
748.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109988
847.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176464
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
33438
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234453
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298610
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6641
245.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46175
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80699
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4953
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15914
274.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16052
277.4 IPS |
