Mac16,9
Geekbench AI Score
5938
Single Precision Score
36116
Half Precision Score
48888
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
16568
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
20914
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22591
366.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31053
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19187
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123110
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229129
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
18977
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23045
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
44601
530.0 IPS |
|
|
Face Detection (Q)
|
100% |
65484
778.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9056
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109972
847.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176591
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37208
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
228172
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296781
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44868
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76579
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16032
276.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16130
278.7 IPS |
