MacBook Pro (16-inch, 2023)
Geekbench AI Score
14365
Single Precision Score
15760
Half Precision Score
14046
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kngo |
| Upload Date | January 25 2025 12:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7107
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
6868
1.28 KIPS |
|
|
Image Classification (Q)
|
97% |
6033
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12493
202.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12382
200.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12022
194.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82629
96.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
86608
101.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81437
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
6435
510.5 IPS |
|
|
Object Detection (HP)
|
100% |
6916
548.6 IPS |
|
|
Object Detection (Q)
|
91% |
5977
477.6 IPS |
|
|
Face Detection (SP)
|
100% |
28172
334.7 IPS |
|
|
Face Detection (HP)
|
100% |
28964
344.2 IPS |
|
|
Face Detection (Q)
|
100% |
21404
254.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33600
258.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34688
267.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29523
230.7 IPS |
|
|
Style Transfer (SP)
|
100% |
135262
173.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152710
196.3 IPS |
|
|
Style Transfer (Q)
|
96% |
142800
184.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20767
766.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20762
766.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17076
630.6 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1392
24.1 IPS |
