Mac16,9
Geekbench AI Score
23578
Single Precision Score
26301
Half Precision Score
24532
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wbednarski |
| Upload Date | May 10 2025 09:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10544
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10657
1.98 KIPS |
|
|
Image Classification (Q)
|
96% |
9448
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23314
377.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24257
393.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23173
375.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
107346
125.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
108936
127.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106066
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
8666
687.4 IPS |
|
|
Object Detection (HP)
|
100% |
10079
799.5 IPS |
|
|
Object Detection (Q)
|
92% |
9668
771.7 IPS |
|
|
Face Detection (SP)
|
100% |
40891
485.9 IPS |
|
|
Face Detection (HP)
|
100% |
41582
494.1 IPS |
|
|
Face Detection (Q)
|
100% |
36165
429.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45283
348.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48837
376.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
44580
348.6 IPS |
|
|
Style Transfer (SP)
|
100% |
220370
283.3 IPS |
|
|
Style Transfer (HP)
|
100% |
241500
310.5 IPS |
|
|
Style Transfer (Q)
|
96% |
226940
292.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30464
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32049
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27310
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6316
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6490
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6501
112.4 IPS |
