MacBook Pro (14-inch, 2024)
Geekbench AI Score
5961
Single Precision Score
36517
Half Precision Score
49126
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | M4ssive |
| Upload Date | March 28 2025 04:56 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
16883
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
21754
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22621
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31179
505.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19191
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123064
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231272
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
18637
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
23385
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
45147
536.4 IPS |
|
|
Face Detection (Q)
|
100% |
62427
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111076
855.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
176598
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37139
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233045
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297749
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45374
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76915
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6083
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16246
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16186
279.7 IPS |
