Mac16,10
Geekbench AI Score
4705
Single Precision Score
38170
Half Precision Score
53718
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | November 11 2024 08:44 AM |
| Views | 19 |
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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
19365
3.60 KIPS |
|
|
Image Classification (Q)
|
97% |
29374
5.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21921
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30524
494.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120897
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232982
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
19663
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27470
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43305
514.6 IPS |
|
|
Face Detection (Q)
|
100% |
61434
730.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8242
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100296
772.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171737
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24827
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231643
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298742
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51093
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91013
3.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
7594
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
6545
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16668
287.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18574
321.0 IPS |
