Mac16,12
Geekbench AI Score
9012
Single Precision Score
10407
Half Precision Score
9713
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 04:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4619
859.0 IPS |
|
|
Image Classification (HP)
|
100% |
4926
916.1 IPS |
|
|
Image Classification (Q)
|
96% |
4414
824.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7009
113.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7730
125.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7591
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
26728
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30682
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29893
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
4518
358.4 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
92% |
4815
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
12230
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
16459
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
13242
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19831
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22645
174.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20720
161.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54275
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66167
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63833
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11406
421.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11746
433.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10336
381.7 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1780
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1454
25.1 IPS |
