Mac16,8
Geekbench AI Score
5781
Single Precision Score
8933
Half Precision Score
6852
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:46 AM |
| Views | 3 |
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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3053
567.8 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18937
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31222
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23964
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7846
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4568
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8735
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14703
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9949
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35664
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49733
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38819
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9554
352.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5211
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5820
100.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8824
152.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8810
152.2 IPS |
