Mac16,12
Geekbench AI Score
9680
Single Precision Score
11059
Half Precision Score
9688
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | January 27 2026 03:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4563
848.6 IPS |
|
|
Image Classification (HP)
|
100% |
4971
924.4 IPS |
|
|
Image Classification (Q)
|
99% |
4934
920.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7838
127.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7796
126.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27003
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31044
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
29488
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4582
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (Q)
|
92% |
4778
381.4 IPS |
|
|
Face Detection (SP)
|
100% |
12646
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16687
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13478
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20593
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22299
171.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
8583
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55422
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66807
85.9 IPS |
|
|
Style Transfer (Q)
|
100% |
66823
85.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11385
420.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11669
430.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10275
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2994
51.7 IPS |
