Mac16,13
Geekbench AI Score
4844
Single Precision Score
36534
Half Precision Score
52325
Quantized Score
Geekbench AI 1.5.0 Corporate for macOS AArch64
Result Information
| Upload Date | September 10 2025 05:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2067
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
17838
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26448
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21225
344.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30791
499.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122579
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232411
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
18556
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26411
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
44095
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
63524
754.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8659
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99696
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167233
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21966
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229392
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295162
380.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49409
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82985
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6009
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6486
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16432
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18239
315.2 IPS |
