Mac16,3
Geekbench AI Score
4672
Single Precision Score
36345
Half Precision Score
51123
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 05 2024 01:52 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| 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% |
2033
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
17132
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24728
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21940
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28677
464.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9893
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123509
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232854
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18172
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26073
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
43192
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
61157
726.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98787
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168509
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24998
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235096
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296201
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48768
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84622
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18175
314.1 IPS |
