Mac16,10
Geekbench AI Score
4841
Single Precision Score
32543
Half Precision Score
41433
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | April 25 2025 04:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2094
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
18532
3.45 KIPS |
|
|
Image Classification (Q)
|
99% |
19310
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17059
276.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
17383
281.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
119056
138.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
225763
264.8 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17087
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
26021
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
28028
333.0 IPS |
|
|
Face Detection (Q)
|
100% |
47498
564.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8671
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
83345
642.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
92451
714.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21937
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169436
217.8 IPS |
|
|
Style Transfer (Q)
|
100% |
169729
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49459
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
85079
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17033
293.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18611
321.6 IPS |
