MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18441
Single Precision Score
19610
Half Precision Score
18247
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | November 09 2024 01:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7941
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8188
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7123
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16697
270.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17605
285.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18526
300.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92302
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95639
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
89407
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
7730
613.1 IPS |
|
|
Object Detection (HP)
|
100% |
8553
678.4 IPS |
|
|
Object Detection (Q)
|
91% |
7256
579.8 IPS |
|
|
Face Detection (SP)
|
100% |
32545
386.7 IPS |
|
|
Face Detection (HP)
|
100% |
36327
431.6 IPS |
|
|
Face Detection (Q)
|
100% |
28928
343.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
40280
310.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43001
331.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36671
286.6 IPS |
|
|
Style Transfer (SP)
|
100% |
189986
244.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208120
267.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188468
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24783
915.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25096
926.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21222
783.6 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4678
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2789
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2409
41.6 IPS |
