MacBook Pro (14-inch, 2024)
Geekbench AI Score
6025
Single Precision Score
38278
Half Precision Score
52557
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | March 04 2026 10:54 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2186
406.5 IPS |
|
|
Image Classification (HP)
|
100% |
18787
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
23305
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23496
380.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
34529
559.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123399
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233100
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
21068
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
26314
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
45410
539.6 IPS |
|
|
Face Detection (Q)
|
100% |
65310
776.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110321
850.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
181321
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
31641
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234060
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
322656
416.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50121
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86520
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17726
305.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17668
305.3 IPS |
