MacBook Pro (14-inch, 2024)
Geekbench AI Score
5980
Single Precision Score
36396
Half Precision Score
49213
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | riussi |
| Upload Date | March 27 2025 01:25 PM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
16464
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21667
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22639
367.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31389
508.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19206
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122936
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230052
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
18990
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23361
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
45135
536.3 IPS |
|
|
Face Detection (Q)
|
100% |
62815
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9092
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109558
844.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177176
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37208
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232963
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297102
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45290
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76830
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16152
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16027
277.0 IPS |
