MacBook Pro (16-inch, 2024)
Geekbench AI Score
5323
Single Precision Score
37727
Half Precision Score
51581
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dani4477 |
| Upload Date | July 17 2025 04:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
17907
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
23532
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23090
374.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32457
526.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15590
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122724
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228037
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
20371
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
25883
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
45073
535.6 IPS |
|
|
Face Detection (Q)
|
100% |
62543
743.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110440
850.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177489
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25483
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230854
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301374
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6348
234.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46288
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80593
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6319
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6635
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5638
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16815
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16534
285.7 IPS |
