Mac16,10
Geekbench AI Score
4697
Single Precision Score
36872
Half Precision Score
51437
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 25 2024 09:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
17462
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25090
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21973
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30299
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124021
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233378
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18549
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26649
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
43735
519.7 IPS |
|
|
Face Detection (Q)
|
100% |
55229
656.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99537
766.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170078
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25257
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234705
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
299736
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49492
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84774
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6330
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6229
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18445
318.8 IPS |
