Mac16,12
Geekbench AI Score
8885
Single Precision Score
10274
Half Precision Score
9727
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 18 2025 09:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4368
812.2 IPS |
|
|
Image Classification (HP)
|
100% |
4758
884.8 IPS |
|
|
Image Classification (Q)
|
96% |
4493
839.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7670
124.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7560
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27783
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29688
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29390
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
5157
409.1 IPS |
|
|
Object Detection (Q)
|
92% |
4759
379.8 IPS |
|
|
Face Detection (SP)
|
100% |
12824
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13354
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20392
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21900
168.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20032
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57524
73.9 IPS |
|
|
Style Transfer (HP)
|
100% |
65973
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64496
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12003
443.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11460
423.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10421
384.8 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
