Mac16,8
Geekbench AI Score
5757
Single Precision Score
8891
Half Precision Score
6885
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | schammah |
| Upload Date | November 30 2024 08:35 AM |
| Views | 9 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.0 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18940
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31091
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23785
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4463
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
7778
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4597
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14088
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10073
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35253
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48584
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37767
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9591
354.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5293
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8989
155.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8958
154.8 IPS |
