MacBook Pro (16-inch, 2024)
Geekbench AI Score
5994
Single Precision Score
37342
Half Precision Score
50323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
2141
398.1 IPS |
|
|
Image Classification (HP)
|
100% |
17513
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22540
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22647
367.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31349
508.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19187
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123205
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230380
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
19664
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24023
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
44679
530.9 IPS |
|
|
Face Detection (Q)
|
100% |
54788
651.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
107556
828.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178615
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
37120
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230993
296.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298335
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7289
269.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45654
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79033
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6770
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16846
290.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17051
294.7 IPS |
