MacBook Pro (16-inch, 2023)
Geekbench AI Score
4178
Single Precision Score
6823
Half Precision Score
5352
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (Q)
|
96% |
1694
316.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12979
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25333
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19325
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5898
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3424
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6347
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12282
94.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8337
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25009
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39788
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29683
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4445
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6325
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6345
109.6 IPS |
