Mac16,10
Geekbench AI Score
4888
Single Precision Score
36466
Half Precision Score
51935
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 11:08 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17717
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26293
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22349
362.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30294
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9844
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123355
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232085
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
17909
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26769
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43801
520.5 IPS |
|
|
Face Detection (Q)
|
100% |
60818
722.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99875
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162062
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23856
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234495
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322627
416.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53259
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90986
3.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15709
270.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18026
311.5 IPS |
