MacBook Pro (14-inch, 2024)
Geekbench AI Score
6029
Single Precision Score
36104
Half Precision Score
48984
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 26 2025 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 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% |
16965
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22380
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22439
363.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31345
508.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19390
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123208
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230887
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
20463
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
23152
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
44004
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
63170
750.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9157
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106268
818.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176819
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37779
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233574
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297173
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45350
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76785
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5237
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6310
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15913
274.1 IPS |
|
|
Machine Translation (Q)
|
98% |
15891
274.6 IPS |
