Mac16,9
Geekbench AI Score
5979
Single Precision Score
9544
Half Precision Score
7249
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 27 2026 04:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2173
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
3178
591.0 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3987
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18255
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34660
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26599
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
4005
318.9 IPS |
|
|
Object Detection (Q)
|
94% |
2818
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4854
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9006
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15196
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9691
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31507
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58124
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43444
56.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9677
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5480
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6625
114.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9865
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9844
170.1 IPS |
