MacBook Pro (16-inch, 2023)
Geekbench AI Score
12787
Single Precision Score
13782
Half Precision Score
12519
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rhein080 |
| Upload Date | January 27 2025 06:37 AM |
| Views | 6 |
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 | 3.43 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5706
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5889
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
5193
969.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11146
180.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11004
178.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10929
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
61717
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
64473
75.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59572
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5871
465.7 IPS |
|
|
Object Detection (HP)
|
100% |
6116
485.1 IPS |
|
|
Object Detection (Q)
|
91% |
5322
425.3 IPS |
|
|
Face Detection (SP)
|
100% |
24800
294.7 IPS |
|
|
Face Detection (HP)
|
100% |
25355
301.3 IPS |
|
|
Face Detection (Q)
|
100% |
18831
223.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28761
221.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29401
226.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25020
195.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114079
146.6 IPS |
|
|
Style Transfer (HP)
|
100% |
127983
164.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119483
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19389
716.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19632
724.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16408
605.9 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1443
24.9 IPS |
