MacBook Pro (14-inch, 2024)
Geekbench AI Score
5509
Single Precision Score
39077
Half Precision Score
52801
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cfw |
| Upload Date | April 28 2025 10:19 PM |
| Views | 6 |
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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
17872
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23100
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23144
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33532
543.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17388
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123910
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
234982
275.4 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
22343
1.77 KIPS |
|
|
Object Detection (Q)
|
91% |
26846
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
43918
521.8 IPS |
|
|
Face Detection (Q)
|
100% |
61213
727.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8674
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115908
893.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
183575
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27181
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234141
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299969
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46731
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79194
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
7450
9.94 KIPS |
|
|
Text Classification (Q)
|
93% |
7346
9.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5920
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17476
301.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17580
303.8 IPS |
