MacBook Pro (14-inch, 2024)
Geekbench AI Score
5985
Single Precision Score
38534
Half Precision Score
52623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jdklev |
| Upload Date | March 31 2026 04:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2186
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
19044
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
24228
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23501
381.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33365
540.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17803
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123483
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233837
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
21388
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
26430
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
45304
538.3 IPS |
|
|
Face Detection (Q)
|
100% |
64871
770.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8946
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110475
851.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
183623
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
30688
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234796
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
324166
418.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50800
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83845
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6375
109.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18160
312.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17971
310.6 IPS |
