Mac16,9
Geekbench AI Score
5943
Single Precision Score
36355
Half Precision Score
48339
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | galexandrov |
| Upload Date | July 11 2025 04:27 PM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
16833
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
21781
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2551
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22631
366.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31104
504.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19193
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123255
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231035
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
18914
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
23181
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45094
535.8 IPS |
|
|
Face Detection (Q)
|
100% |
56159
667.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8772
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110528
851.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176086
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
36494
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232297
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298013
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7284
268.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45231
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76684
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5371
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6205
106.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16149
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16197
279.9 IPS |
