Mac16,8
Geekbench AI Score
13540
Single Precision Score
14594
Half Precision Score
12418
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 05:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6970
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7271
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6316
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10545
170.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11231
182.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11270
182.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45956
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48077
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
45684
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6673
529.3 IPS |
|
|
Object Detection (HP)
|
100% |
7149
567.1 IPS |
|
|
Object Detection (Q)
|
91% |
5897
471.2 IPS |
|
|
Face Detection (SP)
|
100% |
23099
274.5 IPS |
|
|
Face Detection (HP)
|
100% |
24529
291.5 IPS |
|
|
Face Detection (Q)
|
100% |
18438
219.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30812
237.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32640
251.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
26861
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104134
133.9 IPS |
|
|
Style Transfer (HP)
|
100% |
112991
145.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106705
137.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16381
604.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18098
668.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13811
510.0 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1208
20.9 IPS |
