Mac16,1
Geekbench AI Score
4725
Single Precision Score
7801
Half Precision Score
6253
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3312
616.0 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3641
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19114
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16478
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7178
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4298
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14597
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25237
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38388
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31511
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5874
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4822
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6821
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
