MacBook Pro (14-inch, 2024)
Geekbench AI Score
23130
Single Precision Score
25804
Half Precision Score
23347
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | 3981bd |
| Upload Date | December 30 2025 01:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
10557
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10833
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
9699
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23671
383.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24765
401.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23361
378.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
103663
121.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
113283
132.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
108226
126.8 IPS |
|
|
Object Detection (SP)
|
100% |
9516
754.8 IPS |
|
|
Object Detection (HP)
|
100% |
10345
820.5 IPS |
|
|
Object Detection (Q)
|
92% |
9634
769.0 IPS |
|
|
Face Detection (SP)
|
100% |
40490
481.1 IPS |
|
|
Face Detection (HP)
|
100% |
45152
536.5 IPS |
|
|
Face Detection (Q)
|
100% |
37506
445.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45583
351.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48724
375.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
44477
347.4 IPS |
|
|
Style Transfer (SP)
|
100% |
223407
287.2 IPS |
|
|
Style Transfer (HP)
|
100% |
242597
311.9 IPS |
|
|
Style Transfer (Q)
|
96% |
232637
300.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30583
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31601
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27644
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3431
59.3 IPS |
