Mac16,10
Geekbench AI Score
4775
Single Precision Score
37823
Half Precision Score
52668
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | July 28 2025 02:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
18816
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
26234
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22262
360.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29643
480.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123161
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231775
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
19814
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
26877
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
37991
451.4 IPS |
|
|
Face Detection (Q)
|
100% |
62716
745.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100645
775.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170919
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21697
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234125
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299487
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50310
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87651
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
7600
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
6524
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4374
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17128
295.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18468
319.1 IPS |
