Mac16,9
Geekbench AI Score
21184
Single Precision Score
23509
Half Precision Score
21068
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | May 20 2025 01:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
9963
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10090
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8624
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19137
310.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20001
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20701
335.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106420
124.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109591
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103246
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
8914
707.1 IPS |
|
|
Object Detection (HP)
|
100% |
9897
785.0 IPS |
|
|
Object Detection (Q)
|
91% |
8795
702.8 IPS |
|
|
Face Detection (SP)
|
100% |
38059
452.2 IPS |
|
|
Face Detection (HP)
|
100% |
41570
493.9 IPS |
|
|
Face Detection (Q)
|
100% |
30074
357.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43786
337.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46759
360.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39418
308.1 IPS |
|
|
Style Transfer (SP)
|
100% |
218475
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234786
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219261
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29654
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31139
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25243
932.1 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3036
52.5 IPS |
