MacBook Pro (16-inch, 2023)
Geekbench AI Score
13938
Single Precision Score
15360
Half Precision Score
13886
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 10:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6693
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
6790
1.26 KIPS |
|
|
Image Classification (Q)
|
97% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12212
198.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12262
198.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12232
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
82967
96.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86369
100.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81339
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
6090
483.1 IPS |
|
|
Object Detection (HP)
|
100% |
6385
506.5 IPS |
|
|
Object Detection (Q)
|
91% |
5851
467.6 IPS |
|
|
Face Detection (SP)
|
100% |
27568
327.6 IPS |
|
|
Face Detection (HP)
|
100% |
28510
338.8 IPS |
|
|
Face Detection (Q)
|
100% |
21239
252.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33484
258.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34313
264.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
28855
225.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135292
173.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152267
195.7 IPS |
|
|
Style Transfer (Q)
|
96% |
142184
183.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20128
743.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20600
760.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16929
625.1 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1339
23.1 IPS |
