Mac16,9
Geekbench AI Score
23936
Single Precision Score
26796
Half Precision Score
25036
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tyc0746 |
| Upload Date | April 10 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10648
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
10814
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
9805
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23436
379.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24052
389.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22957
372.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106715
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109898
128.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
106377
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
8947
709.7 IPS |
|
|
Object Detection (HP)
|
100% |
10670
846.4 IPS |
|
|
Object Detection (Q)
|
92% |
9573
764.2 IPS |
|
|
Face Detection (SP)
|
100% |
41630
494.7 IPS |
|
|
Face Detection (HP)
|
100% |
43028
511.3 IPS |
|
|
Face Detection (Q)
|
100% |
38320
455.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45745
352.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48351
372.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
44674
349.3 IPS |
|
|
Style Transfer (SP)
|
100% |
224630
288.8 IPS |
|
|
Style Transfer (HP)
|
100% |
240656
309.4 IPS |
|
|
Style Transfer (Q)
|
96% |
228663
295.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31156
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32963
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28593
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6548
112.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6858
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6790
117.3 IPS |
