Mac16,13
Geekbench AI Score
4829
Single Precision Score
36306
Half Precision Score
52078
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | katzecz |
| Upload Date | April 05 2025 11:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
17214
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25225
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21200
343.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30039
486.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122350
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231359
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
18078
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26221
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43722
519.5 IPS |
|
|
Face Detection (Q)
|
100% |
66398
789.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98728
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169309
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21743
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231148
297.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295953
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49397
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83087
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6063
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6318
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16497
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18279
315.9 IPS |
