Mac16,12
Geekbench AI Score
8824
Single Precision Score
10695
Half Precision Score
10361
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | November 03 2025 06:22 PM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4537
843.8 IPS |
|
|
Image Classification (HP)
|
100% |
4884
908.3 IPS |
|
|
Image Classification (Q)
|
96% |
4465
833.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7147
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7710
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7565
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27782
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29614
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29468
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4553
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
5171
410.2 IPS |
|
|
Object Detection (Q)
|
92% |
4739
378.3 IPS |
|
|
Face Detection (SP)
|
100% |
12736
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16454
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
13374
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20416
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21903
168.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20020
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55572
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65999
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63953
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11731
433.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11559
426.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5213
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3294
56.9 IPS |
