Mac16,9
Geekbench AI Score
23463
Single Precision Score
26107
Half Precision Score
24299
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ceolaf |
| Upload Date | May 19 2025 08:43 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
10505
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10699
1.99 KIPS |
|
|
Image Classification (Q)
|
96% |
9664
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23290
377.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24063
390.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22734
368.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106163
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
108103
126.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
104689
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
8742
693.4 IPS |
|
|
Object Detection (HP)
|
100% |
10105
801.6 IPS |
|
|
Object Detection (Q)
|
92% |
9262
739.3 IPS |
|
|
Face Detection (SP)
|
100% |
39194
465.7 IPS |
|
|
Face Detection (HP)
|
100% |
41512
493.3 IPS |
|
|
Face Detection (Q)
|
100% |
36573
434.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44410
342.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47830
368.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
43150
337.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219720
282.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237307
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
227220
293.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30892
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31414
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27011
997.4 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6406
110.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6555
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6529
112.8 IPS |
