Mac16,13
Geekbench AI Score
4810
Single Precision Score
36626
Half Precision Score
51443
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 07:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
17816
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24788
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21985
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30216
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122234
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231352
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
18398
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25395
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
43756
519.9 IPS |
|
|
Face Detection (Q)
|
100% |
63184
750.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98707
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167715
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21657
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233227
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297861
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49254
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82858
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4396
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16477
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18158
313.8 IPS |
