MacBook Pro (14-inch, 2024)
Geekbench AI Score
5661
Single Precision Score
37191
Half Precision Score
51055
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | 3981bd |
| Upload Date | December 30 2025 01:06 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
17895
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22164
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23488
380.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32862
532.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17614
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120846
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232775
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
20535
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25372
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
43572
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
63696
756.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110628
852.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
180389
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30041
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231046
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
323939
418.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48809
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80622
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6220
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16144
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16974
293.3 IPS |
