Mac16,10
Geekbench AI Score
4576
Single Precision Score
37018
Half Precision Score
52969
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:06 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1945
361.8 IPS |
|
|
Image Classification (HP)
|
100% |
18447
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
26453
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21584
349.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30200
489.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123403
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232615
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
18709
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26806
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
42542
505.5 IPS |
|
|
Face Detection (Q)
|
100% |
61952
736.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99650
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
173186
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24529
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235328
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301822
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50705
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90412
3.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6646
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6823
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15638
269.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17473
302.0 IPS |
