MacBook Pro (16-inch, 2023)
Geekbench AI Score
4272
Single Precision Score
6976
Half Precision Score
5396
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sse |
| Upload Date | November 29 2024 05:07 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.4 IPS |
|
|
Image Classification (Q)
|
96% |
1704
318.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12796
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25511
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19535
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
2824
224.8 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3372
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6233
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12297
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8231
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26237
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40922
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31191
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4597
169.7 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4713
81.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6643
114.8 IPS |
