MacBook Pro (16-inch, 2023)
Geekbench AI Score
3180
Single Precision Score
4779
Half Precision Score
3945
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ValkyrieNay |
| Upload Date | August 27 2024 10:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (Q)
|
99% |
1830
341.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1338
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14983
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12685
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
97% |
2254
179.5 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2888
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5568
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8607
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4090
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17076
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26930
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26890
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3584
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3307
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4547
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4532
78.3 IPS |
