MacBook Pro (14-inch, 2024)
Geekbench AI Score
5555
Single Precision Score
37390
Half Precision Score
49782
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 07:55 PM |
| Views | 5 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
17465
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
21917
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22732
368.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31207
505.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17870
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122542
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229836
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
20220
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24096
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
44962
534.2 IPS |
|
|
Face Detection (Q)
|
100% |
63601
755.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109680
845.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180334
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25915
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233268
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298515
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46530
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78140
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6252
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6085
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16222
279.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16689
288.4 IPS |
