Mac16,12
Geekbench AI Score
4942
Single Precision Score
36593
Half Precision Score
51801
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | October 13 2025 04:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
17146
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24737
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22331
362.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30629
496.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122660
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232347
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18313
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26901
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
43137
512.6 IPS |
|
|
Face Detection (Q)
|
100% |
61353
729.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100327
773.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168373
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24368
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234402
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
322441
416.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53197
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86559
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16561
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18233
315.1 IPS |
