Mac16,10
Geekbench AI Score
4726
Single Precision Score
38268
Half Precision Score
53485
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 13 2024 01:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
19201
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
30082
5.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21539
349.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30289
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123020
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233203
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
19139
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26853
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
44218
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
61190
727.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100354
773.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169219
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25332
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233985
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299305
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50133
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88669
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7914
10.6 KIPS |
|
|
Text Classification (Q)
|
93% |
6522
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16791
289.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18735
323.8 IPS |
