MacBook Pro (16-inch, 2024)
Geekbench AI Score
5965
Single Precision Score
36770
Half Precision Score
49772
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2158
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
17095
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21407
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23025
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32682
529.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18151
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122420
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229081
268.5 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
19410
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23821
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5239
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
44148
524.6 IPS |
|
|
Face Detection (Q)
|
100% |
63043
749.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8985
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109387
842.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175666
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31416
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
228892
294.2 IPS |
|
|
Style Transfer (Q)
|
96% |
311973
402.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48532
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77642
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5681
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6579
113.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15980
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16036
277.1 IPS |
