Mac16,8
Geekbench AI Score
5789
Single Precision Score
8868
Half Precision Score
6882
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.2 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18992
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29627
34.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23678
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
3844
306.0 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4640
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8868
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14183
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10173
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35401
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49772
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38957
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9538
352.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5226
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8840
152.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8800
152.1 IPS |
