MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15302
Single Precision Score
17843
Half Precision Score
16462
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | September 07 2024 12:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7701
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7947
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6154
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17269
279.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18035
292.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17909
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
91740
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96875
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
85471
100.2 IPS |
|
|
Object Detection (SP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (HP)
|
100% |
5069
402.1 IPS |
|
|
Object Detection (Q)
|
91% |
6790
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
20972
249.2 IPS |
|
|
Face Detection (HP)
|
100% |
35276
419.2 IPS |
|
|
Face Detection (Q)
|
100% |
26024
309.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37885
291.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42488
327.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34481
269.5 IPS |
|
|
Style Transfer (SP)
|
100% |
191254
245.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203378
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
185998
240.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25233
931.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25266
933.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19744
729.1 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4640
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1460
25.2 IPS |
