Mac16,10
Geekbench AI Score
4756
Single Precision Score
36869
Half Precision Score
51693
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 07:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
18094
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25007
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21967
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30247
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123870
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233989
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
18359
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26424
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
43910
521.7 IPS |
|
|
Face Detection (Q)
|
100% |
61172
726.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99162
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
169358
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25423
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232320
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298158
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5794
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49605
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83242
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6224
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16550
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18206
314.6 IPS |
