Mac16,12
Geekbench AI Score
4913
Single Precision Score
36374
Half Precision Score
51285
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 08:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
17420
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24752
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22246
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29554
479.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122612
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232020
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
17900
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25658
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42657
506.9 IPS |
|
|
Face Detection (Q)
|
100% |
63646
756.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99402
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164500
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24083
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232701
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320263
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52084
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83574
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5717
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4568
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18042
311.8 IPS |
