MacBook Pro (16-inch, 2024)
Geekbench AI Score
5648
Single Precision Score
36394
Half Precision Score
49566
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Loplop |
| Upload Date | September 12 2025 08:32 PM |
| Views | 33 |
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 (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% |
2131
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
16865
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22464
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22713
368.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31861
516.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18281
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122569
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229683
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
18644
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
23207
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
43248
513.9 IPS |
|
|
Face Detection (Q)
|
100% |
65131
773.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8875
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109407
842.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
175638
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27105
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232607
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299000
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45107
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77077
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5723
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6350
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16392
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16403
283.5 IPS |
