MacBook Pro (16-inch, 2024)
Geekbench AI Score
6043
Single Precision Score
38030
Half Precision Score
51549
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 01:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
18675
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
23229
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23856
386.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33626
545.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19273
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124363
145.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233459
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
20722
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25017
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4903
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
45157
536.6 IPS |
|
|
Face Detection (Q)
|
100% |
64287
763.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9216
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112167
864.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
182389
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
36809
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230881
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300833
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46479
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81697
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6222
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17132
295.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17147
296.3 IPS |
