Mac16,8
Geekbench AI Score
5738
Single Precision Score
36922
Half Precision Score
49430
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 09:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17755
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22340
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23205
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32477
526.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18984
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123224
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231461
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
19987
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24018
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
43818
520.7 IPS |
|
|
Face Detection (Q)
|
100% |
64107
761.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8798
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111954
862.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177861
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35388
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238072
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
302437
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47269
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76253
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5142
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5018
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16348
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16364
282.8 IPS |
