Mac16,10
Geekbench AI Score
1639
Single Precision Score
36538
Half Precision Score
52211
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:02 AM |
| Views | 2 |
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 | 3.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
18874
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
28930
5.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20936
339.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28514
462.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
115439
134.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
225864
264.7 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
18948
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26426
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
40960
486.7 IPS |
|
|
Face Detection (Q)
|
100% |
60894
723.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2735
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94744
729.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164138
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
6631
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
230844
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
290402
374.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48030
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81423
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7543
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
7643
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15118
260.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16926
292.5 IPS |
