Mac16,10
Geekbench AI Score
2731
Single Precision Score
22602
Half Precision Score
32305
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 09:51 AM |
| Views | 4 |
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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1104
205.3 IPS |
|
|
Image Classification (HP)
|
100% |
11672
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
17504
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13337
216.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17534
284.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5756
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
67772
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
127170
149.1 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
12210
968.5 IPS |
|
|
Object Detection (Q)
|
91% |
16823
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
27752
329.8 IPS |
|
|
Face Detection (Q)
|
100% |
39682
471.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4743
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
61311
472.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
104463
816.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12226
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
150517
193.5 IPS |
|
|
Style Transfer (Q)
|
96% |
195822
252.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32331
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55293
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9187
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10432
180.3 IPS |
