Mac16,10
Geekbench AI Score
4875
Single Precision Score
36726
Half Precision Score
51937
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 09:53 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
17346
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25034
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22068
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30301
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123397
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232170
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
18302
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26371
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43682
519.0 IPS |
|
|
Face Detection (Q)
|
100% |
61938
736.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8749
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99434
766.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168403
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
22140
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233425
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299144
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49781
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84812
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6195
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6338
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16516
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18335
316.9 IPS |
