MacBook Pro (16-inch, 2023)
Geekbench AI Score
14552
Single Precision Score
15581
Half Precision Score
14291
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 08:02 AM |
| Views | 2 |
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% |
6899
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7217
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6067
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12847
208.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12398
201.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12278
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83774
97.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87088
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82141
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
6534
518.3 IPS |
|
|
Object Detection (HP)
|
100% |
6910
548.1 IPS |
|
|
Object Detection (Q)
|
91% |
5994
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
28293
336.2 IPS |
|
|
Face Detection (HP)
|
100% |
28871
343.1 IPS |
|
|
Face Detection (Q)
|
100% |
21615
256.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33838
260.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34658
267.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29312
229.1 IPS |
|
|
Style Transfer (SP)
|
100% |
135605
174.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154265
198.3 IPS |
|
|
Style Transfer (Q)
|
96% |
143484
185.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20430
754.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21354
788.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17474
645.2 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1559
26.9 IPS |
