MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18368
Single Precision Score
20343
Half Precision Score
18453
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tim2o |
| Upload Date | January 15 2025 10:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8111
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8387
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7244
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16548
268.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17374
281.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18414
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92094
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95926
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
89221
104.6 IPS |
|
|
Object Detection (SP)
|
100% |
7745
614.3 IPS |
|
|
Object Detection (HP)
|
100% |
8394
665.8 IPS |
|
|
Object Detection (Q)
|
91% |
7119
568.9 IPS |
|
|
Face Detection (SP)
|
100% |
33598
399.2 IPS |
|
|
Face Detection (HP)
|
100% |
36107
429.0 IPS |
|
|
Face Detection (Q)
|
100% |
27847
330.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
38082
293.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40622
313.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
34861
272.5 IPS |
|
|
Style Transfer (SP)
|
100% |
186521
239.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204188
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
191941
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24587
907.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26903
993.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21199
782.8 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4672
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2899
50.1 IPS |
