MacBook Pro (14-inch, 2024)
Geekbench AI Score
6024
Single Precision Score
36802
Half Precision Score
49934
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 06:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
17294
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21525
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23057
373.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31979
518.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18385
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122705
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229044
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2719
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
19289
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23859
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
44451
528.2 IPS |
|
|
Face Detection (Q)
|
100% |
63109
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9069
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104805
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177936
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31559
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233072
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
319392
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48419
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78988
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6669
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16105
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16114
278.5 IPS |
