MacBook Pro (16-inch, 2024)
Geekbench AI Score
5619
Single Precision Score
37296
Half Precision Score
51259
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 05:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2120
394.3 IPS |
|
|
Image Classification (HP)
|
100% |
17553
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22121
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22738
368.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32629
528.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18139
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122797
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229529
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
20194
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23247
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
44312
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
66816
793.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8865
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104252
803.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178837
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
26276
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233060
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297911
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45648
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82600
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6325
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17231
296.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17287
298.7 IPS |
