MacBook Pro (14-inch, 2024)
Geekbench AI Score
5586
Single Precision Score
36880
Half Precision Score
49364
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | suvash |
| Upload Date | April 23 2025 11:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
17305
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23129
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22742
368.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31590
512.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18097
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122488
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230681
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
19063
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
24197
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
45035
535.1 IPS |
|
|
Face Detection (Q)
|
100% |
56355
669.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8841
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105825
815.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
178423
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26149
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232896
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297173
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46414
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76883
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16468
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16115
278.5 IPS |
