Mac16,9
Geekbench AI Score
5597
Single Precision Score
36638
Half Precision Score
49936
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | April 21 2025 06:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
17167
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
22088
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22907
371.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31618
512.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18095
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122490
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228815
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2634
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
19053
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
24418
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4877
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
45178
536.8 IPS |
|
|
Face Detection (Q)
|
100% |
62948
748.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8880
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105513
812.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177040
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25992
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233387
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297913
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6084
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46319
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78240
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6284
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16553
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16366
282.8 IPS |
