MacBook Pro (16-inch, 2024)
Geekbench AI Score
6034
Single Precision Score
36641
Half Precision Score
49116
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 07:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
17046
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
20280
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23432
379.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31037
503.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18485
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122409
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230189
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
19018
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23070
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
44003
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
62798
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9032
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108410
835.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175611
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31694
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232154
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319314
412.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47407
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77276
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6691
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15841
272.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16090
278.1 IPS |
