MacBook Pro (16-inch, 2024)
Geekbench AI Score
5955
Single Precision Score
36239
Half Precision Score
49600
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nithinmohantk |
| Upload Date | April 03 2025 10:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2154
400.7 IPS |
|
|
Image Classification (HP)
|
100% |
16981
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22193
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22732
368.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33253
539.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19182
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123266
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231363
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
19003
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23438
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
45617
542.0 IPS |
|
|
Face Detection (Q)
|
100% |
62128
738.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9065
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109461
843.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
181178
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
36946
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232729
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
305225
393.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7240
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45100
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76942
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5052
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5026
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16318
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16952
293.0 IPS |
