MacBook Pro (14-inch, 2024)
Geekbench AI Score
5607
Single Precision Score
36852
Half Precision Score
48960
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ciocan |
| Upload Date | September 17 2025 04:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
17878
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21770
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22571
365.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31155
505.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18330
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122202
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
229635
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
19732
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23889
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
45176
536.8 IPS |
|
|
Face Detection (Q)
|
100% |
58117
690.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8802
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107664
829.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176110
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26663
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232214
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
289324
373.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45484
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76281
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16120
277.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16192
279.8 IPS |
