MacBook Pro (14-inch, 2024)
Geekbench AI Score
18398
Single Precision Score
20215
Half Precision Score
18222
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wyncdavies |
| Upload Date | January 21 2025 09:27 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9496
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9919
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
8406
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16821
272.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18312
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18623
301.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
80917
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
84038
98.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
79153
92.8 IPS |
|
|
Object Detection (SP)
|
100% |
8893
705.4 IPS |
|
|
Object Detection (HP)
|
100% |
9670
767.0 IPS |
|
|
Object Detection (Q)
|
91% |
8152
651.4 IPS |
|
|
Face Detection (SP)
|
100% |
34650
411.7 IPS |
|
|
Face Detection (HP)
|
100% |
36149
429.5 IPS |
|
|
Face Detection (Q)
|
100% |
28252
335.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43706
336.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44968
346.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37533
293.3 IPS |
|
|
Style Transfer (SP)
|
100% |
186518
239.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205244
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189749
244.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26862
991.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28490
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22813
842.4 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5449
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1598
27.6 IPS |
