Mac16,10
Geekbench AI Score
4727
Single Precision Score
36692
Half Precision Score
51879
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brett2032 |
| Upload Date | November 12 2024 01:01 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
17411
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25069
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21379
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30436
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10096
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124189
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233726
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
18340
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26301
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3958
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
44175
524.9 IPS |
|
|
Face Detection (Q)
|
100% |
62562
743.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99896
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169044
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25396
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235170
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298797
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5895
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49535
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84402
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6193
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16460
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18232
315.1 IPS |
