MacBook Pro (14-inch, 2023)
Geekbench AI Score
11761
Single Precision Score
12209
Half Precision Score
11083
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rene_simon |
| Upload Date | August 16 2024 08:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6094
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6186
1.15 KIPS |
|
|
Image Classification (Q)
|
99% |
5532
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12277
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12226
198.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
11751
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
81274
94.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85005
99.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75514
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
5802
460.2 IPS |
|
|
Object Detection (HP)
|
100% |
6199
491.7 IPS |
|
|
Object Detection (Q)
|
92% |
5188
414.1 IPS |
|
|
Face Detection (SP)
|
100% |
21999
261.4 IPS |
|
|
Face Detection (HP)
|
100% |
24269
288.4 IPS |
|
|
Face Detection (Q)
|
100% |
17532
208.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32122
247.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32837
253.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
32809
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
132953
170.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149771
192.5 IPS |
|
|
Style Transfer (Q)
|
100% |
146690
188.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20377
752.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20184
745.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14959
554.2 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (HP)
|
100% |
658
878.9 IPS |
|
|
Text Classification (Q)
|
93% |
652
874.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1335
23.1 IPS |
