MacBook Pro (16-inch, 2023)
Geekbench AI Score
14023
Single Precision Score
15684
Half Precision Score
13744
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 01:39 PM |
| 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% |
6723
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6845
1.27 KIPS |
|
|
Image Classification (Q)
|
97% |
5925
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12379
200.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12114
196.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12190
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
82861
96.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
86393
100.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
81419
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
6439
510.8 IPS |
|
|
Object Detection (HP)
|
100% |
6720
533.0 IPS |
|
|
Object Detection (Q)
|
91% |
5857
468.1 IPS |
|
|
Face Detection (SP)
|
100% |
28464
338.2 IPS |
|
|
Face Detection (HP)
|
100% |
28720
341.3 IPS |
|
|
Face Detection (Q)
|
100% |
21358
253.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33379
257.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34271
264.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
28735
224.6 IPS |
|
|
Style Transfer (SP)
|
100% |
135228
173.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152824
196.5 IPS |
|
|
Style Transfer (Q)
|
96% |
142315
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20072
741.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20628
761.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16975
626.8 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1197
20.7 IPS |
